I'm pleased to announce the release of NumPy 1.1.0.
NumPy is the fundamental package needed for scientific computing with
Python. It contains:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* basic linear algebra functions
* basic Fourier transforms
* sophisticated random number capabilities
* tools for integrating Fortran code.
Besides it's obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and
speedily integrate with a wide-variety of databases.
This is the first minor release since the 1.0 release in
October 2006. There are a few major changes, which introduce
some minor API breakage. In addition this release includes
tremendous improvements in terms of bug-fixing, testing, and
documentation.
For information, please see the release notes:
http://sourceforge.net/project/shownotes.php?release_id=602575&group_id=1369
Thank you to everybody who contributed to this release.
Enjoy,
--
Jarrod Millman
Computational Infrastructure for Research Labs
10 Giannini Hall, UC Berkeley
phone: 510.643.4014
http://cirl.berkeley.edu/